Intelligent bid invitation purchasing management system and method based on hierarchical classification

Abstract

The invention relates to the technical field of bid invitation management, and discloses an intelligent bid invitation purchasing management system and method based on hierarchical classification, and the system comprises a purchasing bid invitation public management module, a purchasing bid invitation selection module, and a purchasing bid invitation result feedback module. Efficient extraction of technical specifications, delivery duration and quotation demand information of procurement projects of bidding parties and technical specifications, delivery duration and quotation feature information of bidding parties is realized; based on the technical specification, the delivery duration and the quotation summary information of the purchase project of the bidding party and the bidding technical specification, the delivery duration and the quotation summary information of the bidding party, carrying out optimal bidding party comprehensive and scientific screening of the technical specification, the delivery duration and the quotation level; the optimal bidding party is comprehensively analyzed from the technical specification level, the delivery duration level and the quotation level of the purchasing project of the bidding party, the intelligent processing of the purchasing and bidding process is realized, and the scientificity and efficiency of purchasing and bidding are improved.

Description

Technical Field

[0001] This invention relates to the technical field of bidding management, specifically to an intelligent bidding and procurement management system and method based on hierarchical classification. Background Technology

[0002] Procurement bidding is a comprehensive economic responsibility system that promotes competition in the basic construction sector. Generally, several construction companies participate in the bidding process, and the bidding unit selects the best bidder based on factors such as short construction period, low cost, high quality, and good reputation. The contract is then signed between the contractor and the client, with the project completed on a turnkey basis. The organizational procedures and work stages of China's bidding and contracting system mainly include: ① Preparing bidding documents. After the bidding application is approved, the construction unit needs to prepare bidding documents, which mainly include: a comprehensive description of the project, construction drawings and specifications, a list of physical quantities, material supply methods, project payment settlement methods, special requirements for project materials, and the date of the site visit. ② Determining the bid price. The construction unit organizes professionals to estimate the total project cost and individual expenses based on the construction drawings and actual site conditions, and then submits this estimate to the relevant construction authorities for review. Once the bid price is determined, it must be kept strictly confidential and no one may disclose it. If some bidding entities are not proficient in or familiar with preparing bid estimates, design and construction units can assist in the preparation, or the design department and construction unit can jointly form a bidding and tendering consultation group to undertake the preparation of bid estimates and other related tasks for the bidding entities. The bid estimate cannot exceed the total approved investment amount for the project. The enterprise procurement bidding process typically requires professionals to review the bid documents of bidders and screen bidders that meet the bidding entity's procurement needs. However, currently, relying on professionals to review bid documents is not only labor-intensive and time-consuming, but also prone to errors. Furthermore, it fails to achieve efficient and accurate screening of bidders that meet the procurement needs based on the technical specifications, delivery time, and price of the bidding entity's procurement project, thus reducing the efficiency and quality of procurement bidding management.

[0003] Chinese invention patent application CN115147197A, published on October 4, 2022, discloses an intelligent bidding management system. It includes a login module, an online form filling module, a settings module, a search module, and a download module. The login module retrieves login information from both the bidding party and the bidders. The online form filling module allows the bidding party to fill out and store bidding documents online, including the bidding items. The settings module allows setting the deadline for bidding documents based on the bidding items. The search module allows bidders to input keywords, matching them with the deadlines to find eligible bids and displaying the results. The download module allows bidders to download the matching documents. However, this technical solution cannot accurately filter bidders who meet the bidding party's requirements. Summary of the Invention

[0004] (a) Technical problems to be solved To address the issues mentioned above, the current practice of relying on professionals to review tender documents is not only labor-intensive and time-consuming, but also prone to errors. Furthermore, it fails to efficiently and accurately select suitable bidders based on the technical specifications, delivery time, and price of the procurement project, thus reducing the efficiency and quality of procurement and bidding management. The solution aims to achieve the following: collecting procurement needs information from the tendering party; efficiently analyzing the industry type of the tender; intelligently selecting the tendering platform; efficiently executing the tendering process; and accurately selecting the optimal bidder based on the technical specifications, delivery time, and price of the procurement project.

[0005] (II) Technical Solution This invention is achieved through the following technical solution: an intelligent bidding and procurement management method based on hierarchical classification, the method comprising the following steps: S1. Collect the procurement requirements text information of the bidding party, identify the industry type of the bidding party, and obtain the bidding industry type identification information; select the bidding disclosure platform object required by the bidding party based on the industry type information of the bidding party, obtain the characteristic information of the selected bidding disclosure platform, and execute the bidding disclosure operation. S2. Collect the bidding characteristic text information of the bidders. Based on the procurement requirements information of the tendering party, collect the technical specifications, delivery time and price characteristics information of the procurement project of the tendering party to obtain the summary information of the technical specifications, delivery time and price of the procurement project of the tendering party; based on the bidding information of the bidders, collect the technical specifications, delivery time and price characteristics information of the bidders to obtain the summary information of the technical specifications, delivery time and price of the bidders. S3. Based on the technical specifications, delivery time, and pricing characteristics of the tendering party's procurement project and the bidders' bids, the optimal bidder is identified and the optimal bidder for the target technical specifications, the optimal bidder for the target technical specifications and delivery time, and the optimal bidder for the target technical specifications and delivery time with the best pricing are obtained respectively. S4. Construct the characteristic information of the best bidder in the procurement and bidding process and execute the operation of displaying the procurement and bidding results.

[0006] Preferably, the following steps are taken: First, collect the procurement requirements text information from the bidding party; second, identify the industry type of the bidding party to obtain bidding industry type identification information; third, select the required bidding disclosure platform based on the bidding party's industry type information, obtain the selected bidding disclosure platform's feature information, and then execute the bidding disclosure operation: S11. Obtain the bidding party's enterprise information and the bidding party's procurement project requirement text information online through the data acquisition dialog box, and obtain the bidding party's procurement requirement text information. The bidding party's procurement requirement text information includes the bidding party's enterprise name, enterprise code, enterprise address, enterprise production and operation scope, bidding project technical specifications requirements, bidding project delivery time requirements, bidding project price requirements, bidding project delivery method requirements, and bidding project scale and quantity requirements; among which, technical specifications include product model specifications, product functional requirements, product performance indicators, and product safety standards; S12. Based on the procurement demand text information of the bidding party and the keyword matrix of different bidding industry standards, the industry type of the bidding party is identified to obtain bidding industry type identification information. S13. Based on the bidding industry type identification information and the feature information matrix of different bidding industry standard bidding disclosure platforms, perform the bidding disclosure platform selection process required by the bidding party, obtain the feature information of the selected bidding disclosure platform, and execute the bidding disclosure operation.

[0007] Preferably, the steps for identifying the industry type of the bidding party based on the bidding party's procurement requirement text information and different bidding industry standard keyword matrices are as follows: S121. Establish a keyword matrix for different bidding industry standards. ,in Indicates the first This document defines standard keywords for different bidding industry types, including engineering construction bidding, medical bidding, education bidding, and chemical bidding. These standard keywords represent standard enterprise production and operation keywords set for different bidding industry types, specifically for engineering construction, medical instrument manufacturing, educational equipment sales, and chemical equipment production. S122. Combine the procurement requirement text information of the bidding party with the keyword matrix of different bidding industry standards. Keywords of different bidding industry standards mentioned in the article By analyzing the text information of production and operation keywords, the search identifies different industry standard keywords that match the procurement requirements text information of the bidding party. The corresponding bidding industry type text information is used, and bidding industry type identification information is generated through data identification; the specific operation steps for generating the bidding industry type identification information are as follows: S1221. Determine the cluster boundary range, and limit the selected location range in the process of identifying emperor penguins curling up for warmth in the bidding industry to the standard keyword matrix of the different bidding industries. In the search space, during the clustering process of Emperor Penguins in the bidding industry, a penguin is adjacent to two or more Emperor Penguins in the bidding industry, and the selection of neighboring Emperor Penguins is random; the boundary of the Emperor Penguin cluster range is defined by the different bidding industry standard keyword matrices. In the search space, the boundary of the entire cluster is represented by the gradient of the wind around the bidding industry to identify the emperor penguin cluster, where wind speed is defined. and gradient , Identifying Emperor Penguin Colony Boundaries in the Bidding Industry ,in , ; Indicates wind speed The horizontal gradient, Indicates wind speed The vertical gradient, Indicates wind speed The horizontal gradient change; S1222, in the keyword matrix of different bidding industry standards Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Simultaneously calculate the keyword matrix of the different bidding industry standards. The search space is used to identify the temperature around the Emperor Penguin colony in the bidding industry. If the current Emperor Penguin colony radius L ≥ 0.5, its temperature is... =0; when L < 0.5, its temperature =1, temperature taper curve The calculation formula is as follows: ,in The maximum number of iterations, For the current iteration number, temperature expression ; S1223, in the keyword matrix of different bidding industry standards Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Simultaneously calculate the distance between Emperor Penguins identified in the bidding industry. Within the cluster, the distance between Emperor Penguins is represented as the distance between the individual Emperor Penguin identified in the bidding industry and the central Emperor Penguin of the cluster. The formula for the cluster distance of Emperor Penguins identified in the bidding industry is as follows: ,in This indicates the distance between the individual emperor penguin identified by the bidding industry and the central emperor penguin in the emperor penguin colony identified by the bidding industry. and This represents the influence vector factor for identifying the volume setting of Emperor Penguins in the bidding industry. Indicates the first After the next iteration, the bidding industry identification of Emperor Penguin was found in the keyword matrix of different bidding industry standards. Search the search space for the most relevant industry standard keywords that best match the procurement requirements of the bidding party. The optimal position, Indicates the first After the next iteration, the bidding industry identification of Emperor Penguin was found in the keyword matrix of different bidding industry standards. Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Location; Define the main social status of the bidding industry's Emperor Penguin, and be responsible for distinguishing between the best bidding industry's Emperor Penguin individual and the ordinary bidding industry's Emperor Penguin individual; S1224. Update the location of the bidding industry identification emperor penguin. Individual emperor penguins in the bidding industry identification emperor penguin cluster update their positions by moving towards the emperor penguin at the center of the cluster. Search for different bidding industry standard keywords that match the bidding party's procurement requirement text information. The position update formula is as follows: ,in Indicates the first After +1 iteration, the bidding industry identification of Emperor Penguin is found in the keyword matrix of different bidding industry standards. The position in the search space; S1225. When the maximum number of iterations is met, output the keywords of the different bidding industry standards that best match the bidding party's procurement requirement text information. ; S1226. The different bidding industry standard keywords output in S1225 The corresponding bidding industry type text information is used to generate bidding industry type identification information through data identification.

[0008] Preferably, the steps for selecting the desired bidding disclosure platform based on the bidding industry type identification information and the feature information matrix of different bidding industry standard bidding disclosure platforms, to obtain the selected bidding disclosure platform feature information and execute the bidding disclosure operation are as follows: S131. Establish a feature information matrix for bidding disclosure platforms of different bidding industry standards. ,in Indicates the first The document describes the characteristic information of different standard bidding disclosure platforms corresponding to various bidding industry types. This characteristic information represents the identity feature information of standard bidding disclosure platforms set up for different bidding industry types. The bidding disclosure platforms include the National Public Resources Trading Platform, the Pharmaceutical and Medical Device Centralized Procurement Platform, and the Scientific and Educational Instruments Dedicated Platform. The characteristic information of different standard bidding disclosure platforms includes the name, URL, and establishment time of the bidding public platform set up for each bidding industry type. S132. Using a breadth-first search algorithm, the bidding industry type identification information is compared with the feature information matrix of the different bidding industry standard bidding disclosure platforms. The characteristic information of different bidding industry standard bidding disclosure platforms described in the article Perform character matching based on the bidding industry type to search for feature information of different bidding industry standard bidding disclosure platforms that correspond to the bidding industry type identification information. And through data identification, select the characteristic information of the bidding and public disclosure platform; S133. The bidding information corresponding to the procurement requirement text information of the bidding party is made public through the bidding public platform corresponding to the selected bidding public platform feature information, and the bidding public operation is performed.

[0009] Preferably, the steps for collecting bidder characteristic text information, gathering technical specifications, delivery time, and pricing characteristics of the procurement project from the tendering party based on the tendering party's procurement needs information, and obtaining a summary of the tendering party's procurement project technical specifications, delivery time, and pricing information, and then collecting bidder bidding technical specifications, delivery time, and pricing characteristics information from the bidders' bidding information to obtain a summary of the bidders' bidding technical specifications, delivery time, and pricing information are as follows: S21. Collect bidder company information and bid text information online through the bidding disclosure platform in step S133, and obtain the bidder's bid feature text information matrix. ,in Indicates the number of collections The bidder's bid characteristic text information includes the bidder's company name, company code, company address, company production and operation scope, historical project technical specifications, historical project delivery duration, historical project price, historical project delivery method, and historical project scale and quantity information. S22. Using the KD-tree nearest neighbor search algorithm, based on technical specifications, delivery time, and quotation keywords, analyze the procurement requirement text information of the tendering party and the bidding characteristic text information matrix of the bidding party, respectively. The bidder's bid characteristic text information described in the document The process involves collecting and processing information on the technical specifications, delivery time, and pricing characteristics of the procurement project from the tendering party, as well as the technical specifications, delivery time, and pricing characteristics of the bidders' bids. This results in separate matrices containing summaries of the tendering party's procurement project technical specifications, delivery time, and pricing information, and summaries of the bidders' bids. ,in Indicates the first Summary information of each bidder's technical specifications, delivery time, and price quote.

[0010] Preferably, the steps for classifying and identifying the optimal bidder based on the technical specifications, delivery time, and pricing characteristics of the tenderer's procurement project and the bidder's bid are as follows: S31. Based on the summaries of the technical specifications, delivery time, and price of the procurement project of the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders, perform the optimal bidder screening process at the technical specification level to obtain the characteristic information matrix of the optimal bidder for the target technical specifications. S32. Based on the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, the summaries of the technical specifications, delivery time, and price of the bidders' bids, and the characteristic information matrix of the optimal bidder for the target technical specifications, perform optimal bidder screening at the level of technical specifications and delivery time to obtain the characteristic information matrix of the optimal bidder for the target technical specifications and delivery time. Combined with the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders' bids, perform optimal bidder screening at the level of technical specifications, delivery time, and price to obtain the characteristic information of the optimal bidder for the target technical specifications, delivery time, and price.

[0011] Preferably, the steps for performing optimal bidder selection at the technical specification level based on the summaries of the tenderer's procurement project technical specifications, delivery time, and price quotes, and the summaries of the bidders' bid technical specifications, delivery time, and price quotes, to obtain the optimal bidder feature information matrix for the target technical specifications are as follows: S311. Use the KMP search algorithm to compile a matrix of information summarizing the bidders' technical specifications, delivery time, and price quotes. The summary information of the bidders' technical specifications, delivery time, and price quotations is as described in the document. The technical specifications text information is matched against the technical specifications, delivery time, and price summary information of the procurement project of the tendering party to find all the bidders' technical specifications, delivery time, and price summary information that match the technical specifications, delivery time, and price summary information of the tendering party's procurement project. The corresponding bidder object number text information is used to generate a matrix of optimal bidder feature information for the target technical specifications through data identification. ,in and They represent the first The and the first The optimal bidder's characteristics and technical specifications for each target. .

[0012] Preferably, the optimal bidder selection process based on the tenderer's procurement project technical specifications, delivery time, and price summary information, the bidder's bid technical specifications, delivery time, and price summary information matrix, and the optimal bidder characteristic information matrix for the target technical specifications is performed to obtain the optimal bidder characteristic information matrix for the target technical specifications and delivery time. The operation steps for further optimal bidder selection based on technical specifications, delivery time, and price level, combined with the tenderer's procurement project technical specifications, delivery time, and price summary information matrix, to obtain the optimal bidder characteristic information for the target technical specifications and delivery time are as follows: S321. Employ a bidirectional search algorithm based on the optimal bidder feature information matrix of the target technical specifications. The target technical specifications of the optimal bidder feature information are described in the document. to The corresponding bidder object number text information is in the bidder's bid technical specifications, delivery time, and price summary information matrix. Search for the optimal bidder feature information for the target technical specifications. to The corresponding summary information of the bidder's technical specifications, delivery time, and price quotation. And the search results will retrieve the optimal bidder feature information for the target technical specifications. to The corresponding summary information of the bidder's technical specifications, delivery time, and price quotation. The delivery time is compared with the summaries of the technical specifications, delivery time, and price quotations of the tendering party's procurement project. All tendering parties whose bid delivery time is not greater than the required delivery time of the tendering party's procurement project are identified based on their bid technical specifications, delivery time, and price quotations. The corresponding bidder object number text information is used to generate a target technical specification delivery time optimal bidder feature information matrix through data identification. ,in and They represent the first The and the first Optimal bidder characteristics for delivery time to target technical specifications ; S322. Similarly, a bidirectional search algorithm is used based on the optimal bidder feature information matrix for the delivery time of the target technical specifications. The target technical specifications and delivery time of the optimal bidder feature information are described in the document. to The corresponding bidder object number text information is in the bidder's bid technical specifications, delivery time, and price summary information matrix. The search engine retrieves the characteristic information of the bidder with the optimal delivery time for the target technical specifications. to The corresponding summary information of the bidder's technical specifications, delivery time, and price quotation. The search will then retrieve the characteristics of the bidder with the optimal delivery time for the target technical specifications. to The corresponding summary information of the bidder's technical specifications, delivery time, and price quotation. The bid price is compared with the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, and the bid with the lowest summaries of the technical specifications, delivery time, and price of the tendering party is found. The corresponding bidder object number text information is used to generate the target technical specifications, delivery time, and best bidder feature information through data identification.

[0013] Preferably, the steps for constructing the characteristic information of the best bidder in the procurement bidding process and executing the procurement bidding result display operation are as follows: S41. Based on the target technical specifications and delivery time, the text information of the bidder object number corresponding to the characteristic information of the best bidder in the bidder bidding characteristic text information matrix is ​​in the bidder bidding characteristic text information matrix. The search retrieves the textual information of the bidder's bidding characteristics corresponding to the optimal bidder's characteristics in terms of delivery time and target technical specifications. And construct the characteristic information of the optimal bidder in the procurement bidding process; S42. The characteristic information of the best bidder in the procurement bidding is pushed online to the bidding party through the bidding disclosure platform in step S133 to perform the procurement bidding result display operation.

[0014] A hierarchical classification-based intelligent bidding and procurement management system is used to implement the hierarchical classification-based intelligent bidding and procurement management method. The system includes a procurement and bidding disclosure management module, a procurement and bidding selection module, and a procurement and bidding result feedback module. The procurement and bidding disclosure management module includes a procurement demand information collection unit for bidding parties, a keyword storage unit for different bidding industry standards, a bidding industry analysis unit, an information storage unit for bidding disclosure platforms of different bidding industry standards, a bidding disclosure platform matching unit, and a bidding disclosure operation execution unit. The bidding party's procurement demand information collection unit collects the text information of the bidding party's procurement demand through a data collection dialog box; the different bidding industry standard keyword storage unit stores different bidding industry standard keywords; the bidding industry analysis unit, based on the bidding party's procurement demand text information and combined with artificial intelligence algorithms and different bidding industry standard keywords based on big data storage, intelligently identifies the industry type of the bidding party, achieving efficient and dynamic analysis of the bidding party's bidding industry type; the different bidding industry standard bidding disclosure platform information storage unit stores the feature information of different bidding industry standard bidding disclosure platforms; the bidding disclosure platform matching unit, based on the bidding industry type identification information and the feature information of different bidding industry standard bidding disclosure platforms, performs the selection process for the bidding party's required bidding disclosure platform to obtain the selected bidding disclosure platform feature information; the bidding disclosure operation execution unit, based on the selected bidding disclosure platform feature information and in conjunction with the bidding disclosure platform, executes the bidding disclosure operation. The procurement and bidding selection module includes a bidder's bidding characteristic information collection unit, a tenderer's procurement technical specifications, delivery time, and quotation requirements information collection unit, a bidder's bidding technical specifications, delivery time, and quotation characteristic information collection unit, a technical specification level bidder identification unit, a technical specification and delivery time level bidder identification unit, and a technical specification, delivery time, and quotation level bidder identification unit. The bidder's bid characteristic information collection unit collects bidder's bid characteristic text information through the bidding disclosure platform; the bidding party's procurement technical specifications, delivery time, and price requirement information collection unit collects the bidding party's technical specifications, delivery time, and price characteristic information for the procurement project based on the bidding party's procurement requirement text information, obtaining the bidding party's procurement project technical specifications, delivery time, and price summary information; the bidder's bid technical specifications, delivery time, and price characteristic information collection unit collects the bidder's bid technical specifications, delivery time, and price characteristic information based on the bidder's bid characteristic text information, obtaining the bidder's bid technical specifications, delivery time, and price summary information; the technical specification level bidder identification unit performs optimal bidding at the technical specification level based on the bidding party's procurement project technical specifications, delivery time, and price summary information and the bidder's bid technical specifications, delivery time, and price summary information. The process involves several steps: First, a selection process is performed to obtain the optimal bidder characteristic information for the target technical specifications. Second, a bidder identification unit at the technical specifications and delivery time level performs selection processing based on the tenderer's procurement project technical specifications, delivery time, and price summary information, the bidder's bid technical specifications, delivery time, and price summary information, and the optimal bidder characteristic information for the target technical specifications. Third, a bidder identification unit at the technical specifications, delivery time, and price level performs selection processing based on the optimal bidder characteristic information for the target technical specifications and delivery time, the tenderer's procurement project technical specifications, delivery time, and price summary information, and the bidder's bid technical specifications, delivery time, and price summary information. Finally, a bidder identification unit at the technical specifications, delivery time, and price level performs selection processing based on the optimal bidder characteristic information for the target technical specifications and delivery time, the tenderer's procurement project technical specifications, delivery time, and price summary information, and the bidder's bid technical specifications, delivery time, and price summary information. The procurement and bidding result feedback module includes a procurement and bidding best bidder information collection unit and a procurement and bidding result display unit. The optimal bidder information collection unit for procurement and bidding constructs the optimal bidder feature information based on the target technical specifications, delivery time, and optimal bidder feature information, the bidder's bid feature text information, and data processing. The procurement and bidding result display unit performs the procurement and bidding result display operation based on the optimal bidder feature information and in conjunction with the bidding disclosure platform.

[0015] (III) Beneficial Effects This invention provides an intelligent bidding and procurement management system and method based on hierarchical classification. It has the following beneficial effects: I. Accurately acquire procurement needs information from the bidding party through the data collection dialog box, providing reliable data support for the bidding party to accurately match the bidding disclosure platform; based on the bidding party's procurement needs text information and combined with keywords of different bidding industry standards, identify the industry type of the bidding party to obtain bidding industry type identification information; based on the bidding industry type identification information and combined with intelligent search algorithms and scientifically stored characteristic information of different bidding industry standard bidding disclosure platforms, the bidding party can independently select the bidding disclosure platform required by the bidding party, and intelligently execute the bidding disclosure operation based on the independently selected bidding disclosure platform, realizing intelligent operation of procurement bidding disclosure and improving the reliability of procurement bidding management.

[0016] Second, by efficiently collecting textual information on bidder characteristics through the open bidding platform, we provide authentic data support for the scientific selection of the best bidders. This enables the efficient extraction of technical specifications, delivery time, and pricing requirements from both the bidding party's and bidders' bids, providing reliable data support for accurate multi-level selection of the best bidders based on the bidding party's project specifications, delivery time, and pricing. Furthermore, by comprehensively and scientifically selecting the best bidders based on the summaries of the bidding party's project specifications, delivery time, and pricing, and the summaries of the bidders' bids, we achieve intelligent processing of the procurement and bidding process, improving the scientific rigor and efficiency of procurement and bidding, and enhancing the fairness and impartiality of the process.

[0017] Third, by efficiently constructing the optimal bidder characteristic information for procurement and bidding based on the target technical specifications, delivery time, and bidder bidding characteristic text information, combined with data processing, the optimal bidder characteristic information for procurement and bidding can be efficiently and securely pushed out, improving the feedback efficiency of procurement and bidding results; based on the optimal bidder characteristic information for procurement and bidding and combined with the autonomous and dynamic execution of procurement and bidding result display operations on the bidding disclosure platform, the efficient and visual feedback of procurement and bidding results can be achieved, improving the applicability of procurement and bidding management. Attached Figure Description

[0018] Figure 1 A schematic diagram of the modules of the hierarchical classification-based intelligent bidding and procurement management system provided by the present invention; Figure 2 The flowchart of the intelligent bidding and procurement management method based on hierarchical classification provided by the present invention. Detailed Implementation

[0019] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0020] An embodiment of the hierarchical classification-based intelligent bidding and procurement management system and method is as follows: Example 1: Please see Figures 1-2 A hierarchical classification-based intelligent bidding and procurement management method, comprising the following steps: S1. Collect the procurement requirements text information of the bidding party, identify the industry type of the bidding party, and obtain the bidding industry type identification information; select the bidding disclosure platform object required by the bidding party based on the industry type information of the bidding party, obtain the characteristic information of the selected bidding disclosure platform, and execute the bidding disclosure operation. S2. Collect the bidding characteristic text information of the bidders. Based on the procurement requirements information of the tendering party, collect the technical specifications, delivery time and price characteristics information of the procurement project of the tendering party to obtain the summary information of the technical specifications, delivery time and price of the procurement project of the tendering party; based on the bidding information of the bidders, collect the technical specifications, delivery time and price characteristics information of the bidders to obtain the summary information of the technical specifications, delivery time and price of the bidders. S3. Based on the technical specifications, delivery time, and pricing characteristics of the tendering party's procurement project and the bidders' bids, the optimal bidder is identified and the optimal bidder for the target technical specifications, the optimal bidder for the target technical specifications and delivery time, and the optimal bidder for the target technical specifications and delivery time with the best pricing are obtained respectively. S4. Construct the characteristic information of the best bidder in the procurement and bidding process and execute the operation of displaying the procurement and bidding results.

[0021] For further details, please refer to Figures 1-2 The process involves collecting textual information about the procurement requirements from the bidding party, identifying the industry type of the bidding party to obtain bidding industry type identification information, and then selecting the desired bidding disclosure platform based on the bidding party's industry type information. The steps for obtaining the selected bidding disclosure platform's feature information and executing the bidding disclosure operation are as follows: S11. Obtain the bidding party's enterprise information and the bidding party's procurement project requirements text information online through the data acquisition dialog box, and obtain the bidding party's procurement requirements text information, which includes the bidding party's enterprise name, enterprise code, enterprise address, enterprise production and operation scope, bidding project technical specifications requirements, bidding project delivery time requirements, bidding project price requirements, bidding project delivery method requirements, and bidding project scale and quantity requirements; among which, technical specifications include product model specifications, product functional requirements, product performance indicators, and product safety standards; S12. Based on the procurement requirements text information of the bidding party and the keyword matrix of different bidding industry standards, the industry type of the bidding party is identified to obtain bidding industry type identification information. S13. Based on the identification information of the bidding industry type and the feature information matrix of different bidding industry standard bidding disclosure platforms, the bidding party selects the bidding disclosure platform object required by the bidding party, obtains the feature information of the selected bidding disclosure platform, and executes the bidding disclosure operation.

[0022] The steps for identifying the industry type of the bidding party by combining the bidding party's procurement requirements text information with a keyword matrix of different bidding industry standards are as follows: S121. Establish a keyword matrix for different bidding industry standards. ,in Indicates the first This document outlines standard keywords for different bidding industry types, including engineering construction bidding, medical bidding, education bidding, and chemical bidding. The standard keywords represent standard enterprise production and operation keywords set for different bidding industry types, specifically for engineering construction, medical instrument manufacturing, educational equipment sales, and chemical equipment production. S122. Combine the procurement requirements text information of the bidding party with keyword matrices of different bidding industry standards. Keywords of different bidding industry standards By analyzing the text information of production and operation keywords, we can find different industry standard keywords that match the procurement requirements of the bidding party. The corresponding bidding industry type text information is then processed through data identification to generate bidding industry type identification information. The specific steps for generating bidding industry type identification information are as follows: S1221. Determine the cluster boundary range and limit the selected location range in the process of identifying emperor penguins curling up for warmth in different bidding industry standard keyword matrices. In the search space, the emperor penguin in the bidding industry clusters with two or more neighboring emperor penguins, and the selection of neighboring emperor penguins is random; the boundaries of the emperor penguin cluster range vary across different bidding industry standard keyword matrices. In the search space, the boundary of the entire cluster is represented by the gradient of the wind around the bidding industry to identify the emperor penguin cluster, where wind speed is defined. and gradient , Identifying Emperor Penguin Colony Boundaries in the Bidding Industry ,in , ; Indicates wind speed The horizontal gradient, Indicates wind speed The vertical gradient, Indicates wind speed The horizontal gradient change; S1222, Keyword Matrix in Different Bidding Industry Standards Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Simultaneously calculate keyword matrices in different bidding industry standards The search space is used to identify the temperature around the Emperor Penguin colony in the bidding industry. If the current Emperor Penguin colony radius L ≥ 0.5, its temperature is... =0; when L < 0.5, its temperature =1, temperature taper curve The calculation formula is as follows: ,in The maximum number of iterations, For the current iteration number, temperature expression ; S1223, Keyword Matrix in Different Bidding Industry Standards Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Simultaneously calculate the distance between Emperor Penguins identified in the bidding industry. Within the cluster, the distance between Emperor Penguins is represented as the distance between the individual Emperor Penguin identified in the bidding industry and the central Emperor Penguin of the cluster. The formula for the cluster distance of Emperor Penguins identified in the bidding industry is as follows: ,in This indicates the distance between the individual emperor penguin identified by the bidding industry and the central emperor penguin in the emperor penguin colony identified by the bidding industry. and This represents the influence vector factor for identifying the volume setting of Emperor Penguins in the bidding industry. Indicates the first After the second iteration, the keyword matrix for identifying Emperor Penguins in different bidding industry standards was used. Search the search space to find the different bidding industry standard keywords that best match the text information of the bidding party's procurement needs. The optimal position, Indicates the first After the second iteration, the keyword matrix for identifying Emperor Penguins in different bidding industry standards was used. Search the search space for different bidding industry standard keywords that match the bidding party's procurement requirements text information. Location; Define the main social status of the bidding industry's Emperor Penguin, and be responsible for distinguishing between the best bidding industry's Emperor Penguin individual and the ordinary bidding industry's Emperor Penguin individual; S1224. Update the location of the bidding industry identification emperor penguins. Individual emperor penguins in the bidding industry identification emperor penguin cluster update their locations by moving towards the emperor penguin at the center of the cluster. Search for different bidding industry standard keywords that match the bidding party's procurement requirements text information. The position update formula is as follows: ,in Indicates the first After +1 iteration, the keyword matrix for identifying Emperor Penguins in different bidding industry standards was obtained. The position in the search space; S1225. When the maximum number of iterations is met, output the keywords from different bidding industry standards that best match the bidding party's procurement requirements text information. ; S1226. Extract the keywords from different bidding industry standards output in S1225. The corresponding bidding industry type text information is used to generate bidding industry type identification information through data identification.

[0023] Based on the industry type identification information and the feature information matrix of different industry standard bidding disclosure platforms, the following steps are taken to select the bidding disclosure platform required by the bidding party, obtain the feature information of the selected bidding disclosure platform, and execute the bidding disclosure operation: S131. Establish a feature information matrix for bidding disclosure platforms of different bidding industry standards. ,in Indicates the first This section describes the characteristic information of different standard bidding disclosure platforms corresponding to various bidding industry types. The characteristic information of these platforms represents the identity characteristics of standard bidding disclosure platforms set up for different bidding industry types. These bidding disclosure platforms include the National Public Resources Trading Platform, the Pharmaceutical and Medical Device Centralized Procurement Platform, and the Scientific and Educational Instruments Dedicated Platform. The characteristic information of different standard bidding disclosure platforms includes the name, website, and establishment time of the bidding public platform set up for each bidding industry type. S132. Employ a breadth-first search algorithm to combine the bidding industry type identification information with the feature information matrix of different bidding industry standard bidding disclosure platforms. Features of different bidding industry standard bidding disclosure platforms Perform character matching for bidding industry type to search for characteristic information of different bidding industry standard bidding disclosure platforms that correspond to the bidding industry type identification information. And through data identification, select the characteristic information of the bidding and public disclosure platform; S133. By selecting the bidding disclosure platform corresponding to the characteristic information of the bidding disclosure platform, the bidding information corresponding to the procurement requirements text information of the bidding party is made public to carry out the bidding disclosure operation.

[0024] The procurement demand information collection unit accurately acquires procurement demand information from bidders using a data collection dialog box, providing reliable data support for bidders to accurately match bidding information platforms. The bidding industry analysis unit identifies the industry type of the bidder based on the textual information of the bidder's procurement demands and different bidding industry standard keywords, obtaining bidding industry type identification information. The bidding information platform matching unit and the bidding information execution unit work together to autonomously select the bidding information platform required by the bidder based on the bidding industry type identification information, combined with intelligent search algorithms and scientifically stored characteristic information of different bidding industry standard bidding information platforms. Simultaneously, based on the autonomously selected bidding information platform, the bidding information execution unit intelligently executes the bidding information operation, realizing intelligent operation of procurement bidding information and improving the reliability of procurement bidding management.

[0025] For further details, please refer to Figures 1-2 The steps for collecting bidders' bidding characteristic text information, gathering technical specifications, delivery time, and pricing characteristics from the tendering party based on the tendering party's procurement needs, and obtaining a summary of the tendering party's procurement project's technical specifications, delivery time, and pricing information are as follows: S21. Collect bidder company information and bid text information online through the bidding disclosure platform in step S133, and obtain the bidder's bid feature text information matrix. ,in Indicates the number of collections The bidder's bid characteristic text information includes the bidder's company name, company code, company address, company's production and operation scope, historical project technical specifications, historical project delivery duration, historical project price, historical project delivery method, and historical project scale and quantity. S22. Using the KD-tree nearest neighbor search algorithm, based on technical specifications, delivery time, and quotation keywords, analyze the procurement requirements text information of the tendering party and the bidding characteristics text information matrix of the bidding party, respectively. Bidding characteristics text information of successful bidders The process involves collecting and processing information on the technical specifications, delivery time, and pricing characteristics of the procurement project from the tendering party, as well as the technical specifications, delivery time, and pricing characteristics of the bidders' bids. This results in separate matrices containing summaries of the tendering party's procurement project technical specifications, delivery time, and pricing information, and summaries of the bidders' bids. ,in Indicates the first Summary information of each bidder's technical specifications, delivery time, and price quote.

[0026] The optimal bidder is identified by classifying and analyzing the technical specifications, delivery time, and pricing characteristics of the procurement project from the tendering party and the bidders' bids. The steps for obtaining the optimal bidder characteristics for the target technical specifications, the target technical specifications and delivery time, and the target technical specifications and delivery time pricing are as follows: S31. Based on the summaries of the technical specifications, delivery time, and price of the procurement project by the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders, the optimal bidders at the technical specification level are selected to obtain the characteristic information matrix of the optimal bidders for the target technical specifications. S32. Based on the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, the summaries of the technical specifications, delivery time, and price of the bidders' bids, and the characteristic information matrix of the optimal bidder for the target technical specifications, the optimal bidder for the technical specifications and delivery time is selected. This results in the characteristic information matrix of the optimal bidder for the target technical specifications and delivery time. Combined with the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders' bids, the optimal bidder for the technical specifications, delivery time, and price is selected. This results in the characteristic information of the optimal bidder for the target technical specifications, delivery time, and price.

[0027] The steps for performing optimal bidder selection at the technical specification level, based on the tenderer's procurement project technical specifications, delivery time, and price summary information matrix, and the bidders' bid technical specifications, delivery time, and price summary information matrix, to obtain the optimal bidder feature information matrix for the target technical specifications are as follows: S311. Use the KMP search algorithm to compile a matrix of information summarizing the bidders' technical specifications, delivery time, and price quotes. Summary of technical specifications, delivery time, and price quotes submitted by the successful bidders The technical specifications text information is matched with the technical specifications, delivery time, and price summary information of the tendering party's procurement project. This searches for all bidders whose technical specifications, delivery time, and price summary information match the tendering party's procurement project's technical specifications, delivery time, and price summary information. The corresponding bidder object number text information is used to generate a matrix of optimal bidder feature information for the target technical specifications through data identification. ,in and They represent the first The and the first The optimal bidder's characteristics and technical specifications for each target. .

[0028] Based on the tenderer's procurement project technical specifications, delivery time, and price summary information, the bidders' bid technical specifications, delivery time, and price summary information matrix, and the optimal bidder characteristic information matrix for the target technical specifications, the optimal bidder selection process is performed at the technical specifications and delivery time levels to obtain the optimal bidder characteristic information matrix for the target technical specifications and delivery time. The steps for combining this with the tenderer's procurement project technical specifications, delivery time, and price summary information, and the bidders' bid technical specifications, delivery time, and price summary information matrix to perform optimal bidder selection at the technical specifications, delivery time, and price levels to obtain the optimal bidder characteristic information for the target technical specifications, delivery time, and price are as follows: S321. Employ a bidirectional search algorithm based on the optimal bidder feature information matrix according to the target technical specifications. Optimal Bidder Characteristics Information for Target Technical Specifications to The corresponding bidder object number text information is included in the bidder's technical specifications, delivery time, and price summary information matrix. Searching for the characteristics of the bidder with the best target technical specifications to Summary of corresponding bidders' technical specifications, delivery time, and price quotes And the search will find the optimal bidder's characteristics based on the target technical specifications. to Summary of corresponding bidders' technical specifications, delivery time, and price quotes By comparing the delivery time values ​​with the summaries of the technical specifications, delivery time, and quotations of the procurement project from the tendering party, the tendering party's technical specifications, delivery time, and quotations summary information are retrieved to identify all tendering parties whose bid delivery time is not greater than the required delivery time of the procurement project. The corresponding bidder object number text information is used to generate a target technical specification delivery time optimal bidder feature information matrix through data identification. ,in and They represent the first The and the first Optimal bidder characteristics for delivery time to target technical specifications ; S322. Similarly, a bidirectional search algorithm is used based on the optimal bidder feature information matrix for the target technical specifications and delivery time. Optimal Bidder Characteristics for Target Technical Specifications and Delivery Time to The corresponding bidder object number text information is included in the bidder's technical specifications, delivery time, and price summary information matrix. The search retrieves the characteristics of the bidder with the best delivery time for the target technical specifications. to Summary of corresponding bidders' technical specifications, delivery time, and price quotes And the search will find the characteristics of the bidder with the best delivery time for the target technical specifications. to Summary of corresponding bidders' technical specifications, delivery time, and price quotes Compare the bid prices with the tenderer's project technical specifications, delivery time, and price summary information to find the bidder with the lowest bid price and the lowest combined technical specifications, delivery time, and price summary information. The corresponding bidder object number text information is used to generate the target technical specifications, delivery time, and best bidder feature information through data identification.

[0029] The bidding characteristic information collection unit efficiently collects textual information on bidding characteristics from bidders through the open bidding platform, providing authentic data support for the scientific selection of the optimal bidder. The bidding entity's procurement technical specifications, delivery time, and pricing requirements information collection unit works in conjunction with the technical specification-level bidder identification unit to efficiently extract the technical specifications, delivery time, and pricing characteristics of the bidding entity's procurement project from the technical specifications, delivery time, and pricing characteristics of the bidders' bids. This provides reliable data support for subsequent multi-level accurate selection of the optimal bidder based on the bidding entity's procurement project's technical specifications, delivery time, and pricing classification. (Technical specification level bidder identification unit...) The bidder identification unit, along with the technical specifications and delivery time level bidder identification units, works in tandem to comprehensively and scientifically screen the optimal bidders based on the summaries of the tenderer's procurement project's technical specifications, delivery time, and price, and the summaries of the bidders' technical specifications, delivery time, and price. This enables intelligent processing of the procurement and bidding process, improving the scientific nature and efficiency of procurement and bidding, and enhancing the fairness and impartiality of the procurement and bidding process.

[0030] For further details, please refer to Figures 1-2 The steps for constructing the optimal bidder's characteristic information and displaying the procurement bidding results are as follows: S41. The text information of the bidder's object number corresponding to the bidder's characteristic information based on the target technical specifications, delivery time, and bidder's bidding feature text information matrix. The search query retrieves the textual information of the bidder's characteristics, including the target technical specifications, delivery time, and best bid price. And construct the characteristic information of the optimal bidder in the procurement bidding process; S42. Push the characteristics of the best bidder in the procurement bidding process to the bidding party online through the bidding disclosure platform in step S133 to perform the procurement bidding result display operation.

[0031] The optimal bidder information collection unit for procurement and bidding efficiently constructs the optimal bidder characteristic information based on the target technical specifications, delivery time, and price characteristics of the optimal bidder, as well as the bidder's bidding characteristic text information, combined with data processing. This enables efficient and secure delivery of procurement and bidding results, improving the feedback efficiency of procurement and bidding results. The procurement and bidding result display unit, based on the optimal bidder characteristic information and combined with the bidding disclosure platform, autonomously and dynamically executes the procurement and bidding result display operation, achieving efficient and visual feedback of procurement and bidding results, and enhancing the applicability of procurement and bidding management.

[0032] Example 2: Please see Figures 1-2 The hierarchical classification-based intelligent bidding and procurement management system is used to implement the hierarchical classification-based intelligent bidding and procurement management method. The system includes a procurement and bidding disclosure management module, a procurement and bidding selection module, and a procurement and bidding result feedback module. The procurement and bidding disclosure management module includes a unit for collecting procurement needs information from bidding parties, a unit for storing keywords of different bidding industry standards, a unit for analyzing bidding industry information, a unit for storing information on bidding disclosure platforms of different bidding industry standards, a unit for matching bidding disclosure platforms, and a unit for executing bidding disclosure operations. The system comprises the following components: a procurement demand information collection unit, which collects textual procurement demand information from the bidding party through a data collection dialog box; a keyword storage unit for different bidding industry standards, used to store keywords from various bidding industry standards; a bidding industry analysis unit, which intelligently identifies the industry type of the bidding party based on the textual procurement demand information and combines artificial intelligence algorithms with keywords from different bidding industry standards based on big data storage, achieving efficient and dynamic analysis of the bidding party's bidding industry type; a bidding disclosure platform information storage unit, used to store characteristic information of different bidding industry standard bidding disclosure platforms; a bidding disclosure platform matching unit, which selects the bidding disclosure platform object required by the bidding party based on the bidding industry type identification information and the characteristic information of different bidding industry standard bidding disclosure platforms, obtaining the characteristic information of the selected bidding disclosure platform; and a bidding disclosure operation execution unit, which executes the bidding disclosure operation based on the selected bidding disclosure platform characteristic information and in conjunction with the bidding disclosure platform. The procurement and bidding selection module includes a bidder's bidding characteristic information collection unit, a tenderer's procurement technical specifications, delivery time, and quotation requirements information collection unit, a bidder's bidding technical specifications, delivery time, and quotation characteristic information collection unit, a technical specification level bidder identification unit, a technical specification and delivery time level bidder identification unit, and a technical specification, delivery time, and quotation level bidder identification unit. The system comprises several components: a bidder characteristic information collection unit, which collects textual information on bidder characteristics through a public bidding platform; a tenderer's procurement technical specifications, delivery time, and pricing requirements information collection unit, which collects information on the tenderer's technical specifications, delivery time, and pricing characteristics based on the tenderer's procurement requirements textual information, resulting in a summary of the tenderer's procurement project's technical specifications, delivery time, and pricing; a bidder technical specifications, delivery time, and pricing characteristics information collection unit, which collects information on the bidder's technical specifications, delivery time, and pricing characteristics based on the bidder characteristic textual information, resulting in a summary of the bidder's technical specifications, delivery time, and pricing; and a technical specification-level bidder identification unit, which identifies the optimal bidder based on the tenderer's procurement project technical specifications, delivery time, and pricing summary information, and the bidder's technical specifications, delivery time, and pricing summary information. The system employs a selection process to obtain the optimal bidder characteristic information for the target technical specifications. A bidder identification unit at the technical specifications and delivery time level, based on the tenderer's procurement project technical specifications, delivery time, and price summary information, the bidders' bid technical specifications, delivery time, and price summary information, and the optimal bidder characteristic information for the target technical specifications, performs the optimal bidder selection process at the technical specifications and delivery time level to obtain the optimal bidder characteristic information for the target technical specifications and delivery time. A bidder identification unit at the technical specifications, delivery time, and price level, based on the optimal bidder characteristic information for the target technical specifications and delivery time, the tenderer's procurement project technical specifications, delivery time, and price summary information, and the bidders' bid technical specifications, delivery time, and price summary information, performs the optimal bidder selection process at the technical specifications, delivery time, and price level to obtain the optimal bidder characteristic information for the target technical specifications and delivery time. The procurement and bidding results feedback module includes a unit for collecting information on the best bidder in the procurement and bidding process and a unit for displaying the procurement and bidding results. The optimal bidder information collection unit for procurement and bidding constructs the optimal bidder characteristic information based on the target technical specifications, delivery time, and price characteristics of the optimal bidder, as well as the bidder's bidding characteristic text information, and combines data processing. The procurement and bidding result display unit performs the procurement and bidding result display operation based on the optimal bidder characteristic information and in conjunction with the bidding disclosure platform.

[0033] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.

Claims

1. A method for intelligent tendering procurement management based on hierarchical classification, characterized in that, The method includes the following steps: S1. Collect the procurement requirements text information of the bidding party, identify the industry type of the bidding party, and obtain the bidding industry type identification information; select the bidding disclosure platform object required by the bidding party based on the industry type information of the bidding party, obtain the characteristic information of the selected bidding disclosure platform, and execute the bidding disclosure operation. S2. Collect the bidding characteristic text information of the bidders. Based on the procurement requirements information of the tendering party, collect the technical specifications, delivery time and price characteristics information of the procurement project of the tendering party to obtain the summary information of the technical specifications, delivery time and price of the procurement project of the tendering party; based on the bidding information of the bidders, collect the technical specifications, delivery time and price characteristics information of the bidders to obtain the summary information of the technical specifications, delivery time and price of the bidders. S3. Based on the technical specifications, delivery time, and pricing characteristics of the tendering party's procurement project and the bidders' bids, the optimal bidder is identified and the optimal bidder for the target technical specifications, the optimal bidder for the target technical specifications and delivery time, and the optimal bidder for the target technical specifications and delivery time with the best pricing are obtained respectively. S4. Construct the characteristic information of the best bidder in the procurement and bidding process and execute the operation of displaying the procurement and bidding results.

2. The hierarchical classification based intelligent tender management method as claimed in claim 1, wherein: The operation steps of S1 are as follows: S11. Obtain the bidding party's enterprise information and the bidding party's procurement project requirement text information online through the data acquisition dialog box, and obtain the bidding party's procurement requirement text information; S12. Based on the procurement demand text information of the bidding party and the keyword matrix of different bidding industry standards, the industry type of the bidding party is identified to obtain bidding industry type identification information. S13. Based on the bidding industry type identification information and the feature information matrix of different bidding industry standard bidding disclosure platforms, perform the bidding disclosure platform selection process required by the bidding party, obtain the feature information of the selected bidding disclosure platform, and execute the bidding disclosure operation. 3.The hierarchical classification based intelligent bidding procurement management method of claim 2, wherein: The operation steps of S12 are as follows: S121, establish different bidding industry standard keyword matrix , the includes ; wherein indicates the different bidding industry standard keywords corresponding to the bidding industry type; S122, the tender party procurement demand text information is matched with the production and operation keyword text information in S121, and the production and operation keyword text information matched with the tender party procurement demand text information is searched out. The production and operation keyword text information is matched with the tender party procurement demand text information in S122, and the production and operation keyword text information matched with the tender party procurement demand text information is searched out. The corresponding tender industry type text information is matched with the production and operation keyword text information, and the tender industry type identification information is generated through data identification; the specific operation steps of generating the tender industry type identification information are as follows:​ S1221、determining the cluster boundary range, setting the position range selected in the process of penguin huddling for warmth in the bidding industry to be limited in the search space of the bidding industry The search space of the bidding industry The search space of the bidding industry S1222、in the search space of the searches out the matching the tender party procurement demand text information synchronously calculates the temperature around the emperor penguin colony in the search space of the tender industry identification S1223、in the search space of the searching out the , the distance between the emperor penguins of the bidding industry identification is calculated synchronously, and the distance between the emperor penguins in the cluster range is represented as the distance between the emperor penguin individual of the bidding industry identification and the emperor penguin cluster center of the bidding industry identification. S1224. Update the location of the bidding industry identification emperor penguin. Individual emperor penguins in the bidding industry identification emperor penguin cluster update their positions by moving towards the emperor penguin at the center of the cluster, and search for those that match the bidding party's procurement requirement text information. ; S1225. When the maximum number of iterations is met, output the text information that best matches the tenderer's procurement requirements. ; S1226, The output in S1225 The corresponding bidding industry type text information is used to generate bidding industry type identification information through data identification.

4. The intelligent bidding and procurement management method based on hierarchical classification according to claim 3, characterized in that: The operation steps of S13 are as follows: S131. Establish a feature information matrix for bidding disclosure platforms of different bidding industry standards. The include ;in Indicates the first Features of different bidding industry standards and bidding disclosure platforms corresponding to various bidding industry types; S132. Use a breadth-first search algorithm to compare the bidding industry type identification information with the... The above Perform character matching for bidding industry type to search for the information corresponding to the bidding industry type identification information. And through data identification, select the characteristic information of the bidding and public disclosure platform; S133. The bidding information corresponding to the procurement requirement text information of the bidding party is made public through the bidding public platform corresponding to the selected bidding public platform feature information, and the bidding public operation is performed.

5. The intelligent bidding and procurement management method based on hierarchical classification according to claim 4, characterized in that: The operation steps of S2 are as follows: S21. Collect bidder company information and bid text information online through the bidding disclosure platform in step S133, and obtain the bidder's bid feature text information matrix. The include ;in Indicates the number of collections Bidding characteristic text information corresponding to each bidder; S22. Using the KD-tree nearest neighbor search algorithm, based on technical specifications, delivery time, and quotation keywords, the text information of the tendering party's procurement requirements and the... The above The process involves collecting and processing information on the technical specifications, delivery time, and pricing characteristics of the procurement project from the tendering party, as well as the technical specifications, delivery time, and pricing characteristics of the bidders' bids. This results in separate matrices containing summaries of the tendering party's procurement project technical specifications, delivery time, and pricing information, and summaries of the bidders' bids. The include ;in Indicates the first Summary information of each bidder's technical specifications, delivery time, and price quote.

6. The intelligent bidding and procurement management method based on hierarchical classification according to claim 5, characterized in that: The operation steps of S3 are as follows: S31. Based on the summaries of the technical specifications, delivery time, and price of the procurement project of the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders, perform the optimal bidder screening process at the technical specification level to obtain the characteristic information matrix of the optimal bidder for the target technical specifications. S32. Based on the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, the summaries of the technical specifications, delivery time, and price of the bidders' bids, and the characteristic information matrix of the optimal bidder for the target technical specifications, perform optimal bidder screening at the level of technical specifications and delivery time to obtain the characteristic information matrix of the optimal bidder for the target technical specifications and delivery time. Combined with the summaries of the technical specifications, delivery time, and price of the procurement project from the tendering party, and the summaries of the technical specifications, delivery time, and price of the bidders' bids, perform optimal bidder screening at the level of technical specifications, delivery time, and price to obtain the characteristic information of the optimal bidder for the target technical specifications, delivery time, and price.

7. The intelligent bidding and procurement management method based on hierarchical classification according to claim 6, characterized in that: The operation steps of S31 are as follows: S311, Using the KMP search algorithm to... The above The technical specifications text information is matched against the technical specifications, delivery time, and price summary information of the procurement project of the bidding party to find all the information that matches the technical specifications, delivery time, and price summary information of the procurement project of the bidding party. The corresponding bidder object number text information is used to generate a matrix of optimal bidder feature information for the target technical specifications through data identification. The include and ;in and They represent the first The and the first The optimal bidder's characteristics and technical specifications for each target. .

8. The intelligent bidding and procurement management method based on hierarchical classification according to claim 7, characterized in that: The operation steps of S32 are as follows: S321, Using a bidirectional search algorithm based on the above The above to The corresponding bidder object number text information is in the The search results for the above to The corresponding and the search results to The corresponding The delivery time of each bidder is compared with the summaries of the technical specifications, delivery duration, and price quotes of the procurement project from the tendering party to identify all bidders whose delivery time is not greater than the required delivery time of the procurement project from the tendering party. The corresponding bidder object number text information is used to generate a target technical specification delivery time optimal bidder feature information matrix through data identification. The include and ;in and They represent the first The and the first Optimal bidder characteristics for delivery time to target technical specifications ; S322, Similarly, a bidirectional search algorithm is used based on the above... The above to The corresponding bidder object number text information is in the The search results for the above to The corresponding and the search results to The corresponding The bid price is compared with the technical specifications, delivery time, and price summary information of the procurement project from the tendering party to find the bidder with the lowest bid price. The corresponding bidder object number text information is used to generate the target technical specifications, delivery time, and best bidder feature information through data identification.

9. The intelligent bidding and procurement management method based on hierarchical classification according to claim 8, characterized in that: The operation steps of S4 are as follows: S41. The text information of the bidder object number corresponding to the characteristic information of the bidder with the best bidder's delivery time based on the target technical specifications is in the... The search engine retrieves the characteristics of the bidder with the best price and delivery time for the target technical specifications. And construct the characteristic information of the optimal bidder in the procurement bidding process; S42. The characteristic information of the best bidder in the procurement bidding is pushed online to the bidding party through the bidding disclosure platform in step S133 to perform the procurement bidding result display operation.

10. A hierarchical classification-based intelligent bidding and procurement management system, used to implement the hierarchical classification-based intelligent bidding and procurement management method according to any one of claims 1-9, characterized in that: The system includes a procurement and bidding disclosure management module, a procurement and bidding selection module, and a procurement and bidding result feedback module.

Images